Personal tools
You are here: Home → Knowledge Base → Smart Content – Scenarios and Technologies for a Knowledge-based Audiovisual Archive  

Smart Content – Scenarios and Technologies for a Knowledge-based Audiovisual Archive

Main information
In our paper we present the intermediate results of a project aiming at the creation of a knowledge-based infrastructure for search and navigation in audiovisual repositories. The approach is based on highly automated media processing and is therefore specifically targeted to historically grown archives (broadcasters, universities, public and corporate media archives, etc.) lacking the time and/or the financial means to manually annotate their digital media assets. In the project a conceptual architecture was developed to meet the requirements of a set of knowledge-intensive user scenarios for the utilization of rich media content in the B2B and B2C areas. Pluggable RDF knowledge components act as a link between a semantic indexing and knowledge-based navigation.  
WP7: Intelligent Media Framework. 
Salzburg Research  Erich Gams, Georg Guentner, Tobias Buerger 
2007-02-16 19:44  Request for more detail


Access and Use Rights
For LIVE project internal research purposes only. 
Copyright Salzburg Research Forschungsgesellschaft m.b.h. 
Presented at eChallenges 2005 
Closed, attachment is not public 


This item is not available for public download. For further information click on Request for more details above

LIVE's knowledge base
  • What is available here?

Here you can search and access the documented work of the LIVE project. Documents include the official reporting of the project's work known as "deliverables", scientific and technical publications, study reports, press material, presentation material  as well as IPR pending material.

  • How can I access the material?

You can search this knowledge base by project partner, work area or key words.

By simply clicking "all" the complete list of documents will be listed.

  • Is everything open to the public?

Please note that only those publications marked in green have been cleared for immediate public access. To request access to those publications not open please click on the "request for more detail" link in the relevant document. Your request will be automatically sent to the authors for consideration.